ADVANCES AND CHALLENGES IN MEDICAL EDUCATION: SIMULATION AND ARTIFICIAL INTELLIGENCE

Gonzales G.F.; Canales C.; Vásquez-Velásquez C. · Revista de la Facultad de Medicina Humana (2026) · DOI: 10.25176/rfmh.v26i1.8023

Resumen

Introduction: Artificial intelligence may strengthen medical education. Objectives: To evaluate the association between artificial intelligence-assisted clinical simulation and the academic performance of students in the Clinical Semiotics course at a private university in Lima, Peru. Methods: An observational, retrospective, and comparative study analyzed data from 42, 41, and 78 students from the 2022, 2023, and 2024 cohorts, respectively, exposed to different teaching modalities: no simulation, mixed modality (50% hospital and 50% simulation), and 100% clinical simulation, respectively. Academic performance in the Clinical Semiotics course was evaluated. ANOVA and crude and adjusted linear regression models were applied to assess academic performance across cohorts, controlling for sociodemographic and academic variables. Results: The 2024 cohort, exposed to 100% clinical simulation, achieved the highest course averages compared with the mixed-modality and no-simulation cohorts. In the adjusted linear regression analysis, the 2024 cohort was independently associated with higher academic performance (β = 2.12; p < 0.001) compared with the 2022 cohort. Previous GPA (β = 0.48; p < 0.001) and accumulated credits (β = 0.04; p = 0.003) were positively associated with performance, whereas the percentage of absences (β = -0.08; p < 0.001) showed a significant negative association. Conclusion: In the exploratory context of this study, artificial intelligence-assisted clinical simulation was associated with better academic performance among students in the Clinical Semiotics course, suggesting its potential usefulness as an educational strategy in medical training. Article published by the Revista de la Facultad de Medicina Humana of Universidad Ricardo Palma. It is an open access article, distributed under the terms of the Creative Commons License: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), which allows non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited. For commercial use, please contact revista.medicina@urp.edu.pe

Instituciones: Universidad San Ignacio de Loyola